101 to 125 of 3,210 Machine Learning Jobs in London

enterprise architecture, solution architecture, technology consulting, systems integration, software engineering, data architecture, or related roles.5+ years of experience designing or delivering AI, data science, machine learning, advanced analytics, or intelligent automation solutions.2+ years of hands-on or architecture experience with GenAI, LLMs, RAG, AI agents, orchestration frameworks … degree or equivalent work experience.Preferred Skills:Master's degree in computer science, engineering, data science, AI, or a related field.Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications.Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute ...

analytics insights for clients and McKinsey teams involved in transformation programs globally. Задачи Design, build, and optimize scalable data solutions for analytics, reporting, and machine learning Develop robust data ingestion pipelines, procure data from APIs, and integrate it into cloud-based storage layers Clean and standardize data … cloud-based data platforms for rapid business data access and emerging technology incubation Design and develop scalable, reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers ...

Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such … OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side ...

apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering ...

contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack : You’ll work …/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling : You’ll help push the boundary of what’s feasible with modern AI-powered software development ...

DescriptionRole – Senior AI EngineerTechnology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UKBusiness Unit – TOPAZDLVRYCompensation – Competitive (including bonus)Job Summary:We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative AI solutions for our clients. The Generative … where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.Required•Experience of solutioning in Gen AI, Agentic AI, classic ML and automation space•Experience and good understanding of GenAI prompt engineering, RAG pipelines, Supervised/unsupervised ML and AI observability•Experience in Enterprise-grade ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche … historical market data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche … construction, historical market data, pricing services, scenario generation, or analytics input validation.Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics.CFA, FRM, CQF, or other relevant professional qualification.About S&P Global Market IntelligenceAt ...

your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service … governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Amazon SageMaker (and related AWS AI services) to operationalise models and drive ...

standardsand in achieving successful clientoutcomes. We are open, honestand communicate in a jargonfree, collaborative way, with all ourteams being agile and curious, andcontinuously learning to achieveour purpose. We believe that ifwe achieve our purpose theneverything else will follow. Clever with data... combining data,insight, and action to drive value … delivery of client analytics and modelling work,with fewer platform-related blockers Continued improvement of Sagacity’s Product Suite through arobust, scalable data and ML platform Ability to take accountability and ownership for client and internal Work as part of the Data & Analytics team, providing knowledgetransfer, peer reviews and mentoring ...

consistent track record of shipping models to production and supporting them post-deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure … automated testing, and monitoring to support reliable model deployment and maintenance.Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems.EDUCATION Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience.WHAT ...

track record of shipping models to production and supporting them post-deployment.* Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms … testing, and monitoring to support reliable model deployment and maintenance.* Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems.**EDUCATION** Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience.**WHAT ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

modernization programs. Knowledge of data governance frameworks and regulatory requirements. Familiarity with real-time streaming platforms such as Kafka and Azure Event Hub. Understanding machine learning and advanced analytics platforms. Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline. Industry certifications ...

machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools … deliver innovative solutions using AI & Cloud.What You’ll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems.Data Science: Conduct ML experiments using programming languages with machine learning libraries.GenAI: Leverage generative AI to develop innovative solutions.Optimisation: Optimise machine learning solutions for performance ...

.• Familiarity with BI, data visualisation, and DevOps principles.• Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA).• Exposure to machine learning and AI integration within modern data platforms.Experience, Qualifications, and Education• Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with ...

large or complex datasets. Experience integrating internal and external APIs, services and data sources into applications. Good working knowledge of data, AI and machine learning concepts. Experience building or integrating AI-powered features into web applications, tools or business workflows. Familiarity with generative AI tools and coding assistants ...

enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry … drive competitive advantage in data and AI capabilities.Serve as a trusted advisor to leadership on strategy, AI-readiness, and data infrastructure investment decisions.Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value.Define, monitor, and enforce data quality SLAs ...

rating systems, IFRS9 provisioning, stress testing, climate risk and capital models (Required) Excellent quantitative and analytical skills, with experience applying statistical, econometric and machine learning techniques to solve complex modelling, data and business challenges (Required) Advanced programming skills in SAS, Python, SQL or similar analytical tools (Required) Demonstrated ...

solutions across the organization. The position will be based out of our London or Manchester office.Specific Emerging Technology team objectives are:Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform.Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch businessDevelop and deploy machine learning and gen AI solutions ...

team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. … vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen ...

team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. … vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen ...